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Data · dataset · 2024

Dataset for: Insulation Hydrophobicity Classification Based on Fourier Transform and Shallow Neural Networks

Listed in Teesside University Research Data Repository

This dataset was produced by applying the spray method (IEC Standard 62073) in a hydrophobic surface.

Description

A total of 1200 photos were taken from all hydrophobicity classes using a solution of distilled water and ethyl alcohol as spraying solution. Sections of the captured images were cropped to a size of 1024 x 1024 pixels and downscaled to 256 x 256 to reduce computational effort.

The dataset is comprised by 200 images for each of the six hydrophobicity classes, from HC1 to HC6.

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Where it is published

Catalogue records · 1

Topics

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Teesside University Research Data Repositoryoai:data.mendeley.com/b2gyszjxbx.115 h agoJSON v1
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